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State estimation for a large-scale wastewater treatment system

AUTOMATICA 1996年第3期32卷 305-317页

作者： Tenno, R Uronen, P Lab. of Proc. Control and Management Helsinki University of Technology SF-02150 Espoo Kemistintie 1 Finland

A new distributed parameter stochastic model is introduced for modelling a large-scale wastewater treatment system with distributed water feeding, sludge recycling and removal. The state estimation problem is formulated as a biomass and organic matter profile estimation problem for the aeration basin. It is solved by approximation of the original model with a finite-dimensional bilinear model and the filtration distribution with the normal distribution. It is shown that the profile can be estimated online using dissolved oxygen and gas analysis results measured from several points over the aeration basin. The estimation quality is higher in the case of a large-scale aeration basin than in the case of a completely mixed basin. The estimation algorithm is obtained in a computationally effective form. The model and the estimation algorithm are tested in a simulation experiment. It is demonstrated that the sludge and water distribution has a strong effect on treated water quality. The distribution is considered as a new control parameter. It can be used in practice for improvement of treatment proc.ss quality.

关键词： biotechnology wastewater treatment modelling distributed parameters partially observable stochastic system state estimation

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Stability analysis of networked control system

Stability analysis of networked control system

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proc.edings of 2002 International Conference on Machine Learning and Cybernetics

作者： Xie, Lei Zhang, Jian-Ming Wang, Shu-Qing National Key Lab. of ICT Research Inst. of Adv. Proc. Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)0780375084

An alternative problem statement of Networked control System (i.e. NCS) is proposed and a stability criterion based on the new problem statement is discussed. With this stability criterion, we are able to analyze the network transmission delay deadlines that guarantees stability. Compared with reported results, it's less conservative and more computationally effective.

关键词： control system analysis

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Fault diagnosis system for the Outokumpu flash smelting proc.ss

Fault diagnosis system for the Outokumpu flash smelting proc...

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EPD Congress 2001

作者： Jämsä-Jounela, S.-L. Kojo, I. Vapaavuori, E. Vermasvuori, M. Haavisto, S. Lab. of Proc. Control and Automation Helsinki University of Technology P.O. Box 6100 FIN-02015 HUT Finland

Fault diagnosis systems have attracted growing interest in a number of engineering fields. The number of applications has increased and successful results have been widely reported. The fault diagnosis system presented in this paper is integrated, and it monitors the states of the proc.ss and performs fault detection and diagnosis on the proc.ss equipment. The monitoring of proc.ss states is carried out by means of Kohonen Self-Organising Maps that is a powerful tool in visualisation and analysis of high dimensional data in engineering applications. This paper presents the results of SOM analysis carried out on the Outokumpu flash smelting proc.ss. The subsystems analyzed in more detail are the condition of the concentrate burner, the condition of the gas line on the basis of the pressure distribution in the proc.ss and the cooling water circulation of the waste heat boiler, and the condition of the furnace and furnace equipment on the basis of the temperature distribution in the furnace and gas line.

关键词： Smelting

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State-of-the-art techniques for internal quality measurements in steel sheet production proc.sses

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Kawasaki Steel Technical Report 2000年第43期 87-92页

作者： Takada, Hajime Miyake, Toshihide Yokota, Hiroyuki Mech. Proc. Instrum. Contr. Lab. Technical Res. Labs. Plant Control Technology Sec. Plant Control Technology Dept. Mizushima Works Plant Control Technology Sec. Plant Control Technology Dept. Chiba Works

This paper describes the state-of-the-art ultrasonic and magnetic measuring techniques developed at Kawasaki Steel and used in the production proc.ss of steel sheets. Some examples shown here are as follows: (1) Magnetic flux leakage testing system for the detection of nonmetallic inclusions, (2) Nondestructive orientation measurement for secondary re-crystallized grains in grain-oriented electrical steel by ultrasonic interferometry, (3) Immersion testing method for the detection of nonmetallic inclusion, and (4) Surface wave probe for the detection of surface flaws in rolls used in rolling mills. The development of these techniques and their applications to actual steel sheets production proc.sses have contributed to advances in quality assurance and control. By means of these techniques, steel sheet products with advanced and uniform properties are being continuously produced to meet customers' needs.

关键词： Steel sheet

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Ultra-thin hot rolled strip

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Kawasaki Steel Technical Report 2000年第42期 1-7页

作者： Yamada, Nobuo Kitahama, Masanori Nikaido, Hideyuki Sheet Control Sec. Technical Control Dept. Chiba Works Mech. Proc. Instrum. Contr. Lab. Technical Res. Labs. Hot Rolling Technology Sec. Hot Rolling Dept. Equipment Technology Sec.

Kawasaki Steel has been making efforts to develop new hot-rolled steel products by using fully continuous rolling technology, so-called `endless rolling', at No. 3 hot strip mill of Chiba Works. Stable rolling technology of ultra-thin hot rolled strips such as 1.0 mm, 0.9 mm, and 0.8 mm in thickness has been established, and the conventional minimum gauge of hot rolled strips (1.2 mm) has been lowered. The ultra-thin hot rolled strips have been provided to the market with a brand name `RTHC' (River thin hot coil commercial grade) since 1977. The ultra-thin hot rolled strips have excellent quality in dimensional accuracy and mechanical properties. In addition, the ultra-thin hot rolled strips meet current needs of energy saving and reducing CO2 emission. New market and more demands for the newly developed product strips are expected.

关键词： Iron and steel plants

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Application of model-based fault detection and diagnosis to the quality assurance of an automotive actuator

Application of model-based fault detection and diagnosis to ...

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Tutorial Workshop on Supervision, Fault Detection and Diagnosis of Technical Systems at the IFAC World Congress

作者： Pfeufer, T Institute of Automatic Control Lab. Contr. Eng. and Proc. Automat. Darmstadt University of Technology D-64283 Darmstadt Landgraf-Georg. Str. 4 Germany

The increased degree of automation of technical proc.sses requires an increased number of mechanical-electronic components. In order to maintain the dependability and availab.lity despite of the increased complexity, new methods for the quality assurance of mechanical-electronic systems are necessary. This paper describes an automatic diagnostic system for an automotive actuator. Analytic models of the proc.ss under investigation are used in order to extract detailed information about the proc.ss, using only the usually measured signals and evaluating the signals e.g. by parameter estimation and state estimation. However, some relations, especially the cause - effect relations between the underlying faults and the observable symptoms, are quite difficult to represent by analytic models. A rule-based approach is more suitable to acquire, represent and proc.ss the diagnostic knowledge base. In order to cope with uncertainty, a fuzzy structure is applied to the classification of faults. Copyright (C) 1997 Elsevier Science Ltd.

关键词： approximate reasoning decision making fault detection fault diagnosis parameter estimation fuzzy supervision electromechanical actuators

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Trends in the application of model-based fault detection and diagnosis of technical proc.sses

Trends in the application of model-based fault detection and...

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作者： Isermann, R. Ballé, P. Institute of Automatic Control Lab. Contr. Eng. and Proc. Automat. Darmstadt University of Technology Landgraf-Georg.Str. 4 D-64283 Darmstadt Germany

After a short overview of the historical development of model-based fault erection, some proposals for the terminology in the field of supervision, fault detection and diagnosis are stated, based on the work within the IFAC SAFEproc.SS Technical Committee. Some basic fault-detection and diagnosis methods are briefly considered. Then, an evaluation of publications during the last 5 years shows some trends in the application of model-based fault-detection and diagnosis methods.

关键词： Error detection

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Improved Speaker Recognition over VoIP using Auditory Features 15

Improved Speaker Recognition over VoIP using Auditory Featur...

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15th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2018

作者： Yasmine, Zergat Kawthar Ahmed, Selouani Sid Abderrahmane, Amrouche Mohamed, Debyeche Speech Com. Signal Proc. Lab.-LCPTS Faculty of Electronics and Computer Sciences USTHB Bab Ezzouar Algiers Algeria Department of Information Management University of Moncton Compus of Shippagan Shippagan Canada

ISBN: (纸本)9781538691205

This work presents a novel framework based on a discriminative auditory feature extractor for speaker recognition over VoIP network. The auditory model that simulates the mid-external and inner ear is incorporated into the conventional Mel Frequency Cepstral Coefficients (MFCC) scheme to produce new parameters that we named Ear Frequency Cepstral Coefficients (EFCCs). The experiments are conducted on the TIMIT corpus and the EFCC, used as input parameters tothe i-vector algorithm. Results showed interesting performances compared to the conventional MFCC parameters. In addition, this improvement was obtained by using fewer parameters (43 EFCCs vs 60 MFCCs) in our experiment. © 2018 IEEE.

关键词： Voice/data communication systems

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System identification from small data sets using an output jittering method with application to model estimation of bioethanol production

System identification from small data sets using an output j...

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Yang, Jing Wei, Hua-Liang Kadirkamanathan, Visakan Lin, Xiaofang Key Lab. of Biofuels Inst. Bioengergy and Proc. Tech. Chinese Academy of Science Qingdao Shandong Province China Department of Automatic Control and Systems Engineering University of Sheffield Sheffield S1 3JD United Kingdom

ISBN: (纸本)9781467314855

A novel simple approach is presented for solving small sample size problem in nonlinear dynamic system identification where only a very small number of measured input and output data points are availab.e. The technique is built upon an orthogonal least squares algorithm and a new resampling method called output jittering method,. The proposed algorithm is applied to the model identification of bioethanol production and it shows that a robust and reliable model can be obtained with the new system identification approach. © 2012 IEEE.

关键词： Ethanol

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Research on Crop Disease and Pest Surveillance based on Big Data and Image proc.ssing Technologies

Research on Crop Disease and Pest Surveillance based on Big ...

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2024 International Conference on Information Technology, Communication Ecosystem and management, ITCEM 2024

作者： Yang, Yimei Yang, Yujun Shu, Huixia Zhao, Changhua Deng, Shaowei Huaihua418008 China Hunan Provincial Key Laboratory of Ecological Agriculture Intelligent Control Technology Huaihua418008 China Key Lab. of Wuling-Mt. Hlth. Big Data Intelligent Proc. and Applic. in Hunan Province Universities Huaihua Hunan418000 China

ISBN: (纸本)9798331542696

Recently, with the increasing complexity of agricultural systems and climate change, agricultural pest and disease surveillance and early detection have become critical tasks for guaranteeing food stability and promoting sustainable farming growth. Agricultural pest and disease surveillance is a key component of agricultural production, directly affecting crop yield and quality. As big data advances and image proc.ssing technologies rapidly, their application in crop pest and disease surveillance has become increasingly widespread. By integrating multi-source data, such as remote sensing data, meteorological data, ecological data, and pest and disease survey data, researchers can build more accurate and efficient pest and disease surveillance models. This paper reviews the research progress of big data and image proc.ssing technologies in crop pest and disease surveillance, analyzes the advantages and challenges of current technologies, and proposes future research directions to enhance the automation and intelligence of systems. Additionally, it discusses the integration of deep learning and other techniques to achieve efficient information mining and accurate retrieval of disaster-related data, aiming to provide scientific guidance and technical support for agricultural production. © 2024 IEEE.

关键词： Big Data Analysis Image proc.ssing Technology Pest and Disease Detection

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